Cringepocalypse @cringepocalypse - Tumblr Blog

mr-viwick

pet concepts for my world of slug people

slaughterhousebrutality

i'm like if a hedonist didn't derive pleasure out of anything

nofaceuserr-deactivated20250917

solfinite

Team,,fortress

pulpa-de-gorila

gorls in da base (commission)

girlvasectomy

pulpa-de-gorila

Bob Elysium

oblique-lane

Summer Mission

"It said 'loves me not', Miss P!" "Yeah, if I were a flower and you plucked all my petals, I'd say the same thing."

casserpillarr

Ears 👂👂

I have this headcanon that Scout inherited his large ears from Spy. Spy's ears are as large as Scouts but they're just hidden under his mask..

solarshade

SOMA <3.

vampodile

rip simon jarrett you wouldve loved tiktok

woerm

plasticviolence

skydrifter

expressway to the stars

low-poly simon because i can't stop thinking about him...he deserved so much better ough. modeled and textured in blockbench, rendered in blender

beesmygod

ed zitron, a tech beat reporter, wrote an article about a recent paper that came out from goldman-sachs calling AI, in nicer terms, a grift. it is a really interesting article; hearing criticism from people who are not ignorant of the tech and have no reason to mince words is refreshing. it also brings up points and asks the right questions:

if AI is going to be a trillion dollar investment, what trillion dollar problem is it solving?

what does it mean when people say that AI will "get better"? what does that look like and how would it even be achieved? the article makes a point to debunk talking points about how all tech is misunderstood at first by pointing out that the tech it gets compared to the most, the internet and smartphones, were both created over the course of decades with roadmaps and clear goals. AI does not have this.

the american power grid straight up cannot handle the load required to run AI because it has not been meaningfully developed in decades. how are they going to overcome this hurdle (they aren't)?

people who are losing their jobs to this tech aren't being "replaced". they're just getting a taste of how little their managers care about their craft and how little they think of their consumer base. ai is not capable of replacing humans and there's no indication they ever will because...

all of these models use the same training data so now they're all giving the same wrong answers in the same voice. without massive and i mean EXPONENTIALLY MASSIVE troves of data to work with, they are pretty much as a standstill for any innovation they're imagining in their heads